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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Starter
# ================================================
# A production-ready starter boilerplate for building micro-SaaS applications
# using FastAPI, Pydantic v2, and PostgreSQL Vector Search Extension.

import os
import uvicorn
from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from pydantic import BaseModel, validator
from typing import List, Optional
from psycopg2 import connect, Error
from psycopg2.extras import DictCursor

# Define the PostgreSQL database connection settings
POSTGRES_HOST = os.environ.get("POSTGRES_HOST", "localhost")
POSTGRES_DB = os.environ.get("POSTGRES_DB", "mydatabase")
POSTGRES_USER = os.environ.get("POSTGRES_USER", "myuser")
POSTGRES_PASSWORD = os.environ.get("POSTGRES_PASSWORD", "mypassword")

# Define the FastAPI application
app = FastAPI(title="FastAPI Pydantic v2 Micro-SaaS Starter",
              description="A production-ready starter boilerplate for building micro-SaaS applications",
              version="1.0.0")

# Define the Pydantic models for the API
class User(BaseModel):
    """User model"""
    id

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